We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Involves in building and operating highly sophisticated LLM driven applications.

• Partners directly with other technology teams on LLM projects to advise and assist as needed.

• Collaborates with Data Science, Cybersecurity to deliver state of the art ML products.

• Collaborates with Devops engineers to plan and deploy data storage and processing systems,

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

• Develops secure high-quality production code, and reviews and debugs code written by others.

• Stays abreast of the latest advancements in AI technologies, and drive their integration into our operations.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Advanced python programming skills.

Proven experience in building and operating scalable ML-driven products.

• Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) .
• Hands on experience in Azure and AWS.. Proficiency with cloud technologies like Kubernetes, Airflow.
• Experience working in a highly regulated environment.

Proven ability to iterate quickly.

• Proficient in all aspects of the Software Development Life Cycle.

Terraform, IaaC experience.

• Experience with design & delivery of large scale cloud-native architectures.
• Experience with microservices performance tuning, performance optimization, real-time applications.

Preferred qualifications, capabilities, and skills

• Experience with financial data and data science.
• Experience in developing AI solutions using agentic frameworks.

Experience fine-tuning LLMs with advanced techniques to enhance performance.

• Experience with prompt optimisation to improve the effectiveness of AI applications.
• Demonstrated ability to design and implement robust AI application architectures.